Self-Organizing Maps (SOM)
A aplicação de self‐organizing maps na caracterização do universo geográfico dos serviços de correio
... 2 analisada encontraram-se várias técnicas (Chicco, Napoli, & Piglione, 2006) mas as que se destacaram foram o k-means e os SOM - Self Organizing-Maps (SOM), ambas são tipos de redes-neuronais ...
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Self-organizing maps in the study of genetic diversity among irrigated rice genotypes
... presents self-organizing maps (SOM) as an alternative method to evaluate genetic diversity in plant breeding ...the maps. Regarding genotype arrangement and the group neighbors, maps ...
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Functional grouping and establishment of distribution patterns of invasive plants in China using self-organizing maps and indicator species analysis
... Self-organizing maps represent an artificial neural network model (Kohonen, 1982) aiming to clas- sify high dimensional data, performing a non-linear projection of multidimensional data space onto ...
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Research Article Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps
... 2.3. Methodology. SOM are nonsupervised neural networks used for clustering, dimension reduction, and visualization. This research aims to achieve these three objectives by visually showing the areas with similar ...
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Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
... estimated. Self-Organizing Maps (SOM) are a class of Artificial Neural Network (ANN) for the generation of topological ordered ...These maps were used for the visualization and study of the ...
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EXPLORATORY GEOSPATIAL DATA ANALYSIS USING SELF-ORGANIZING MAPS
... In this thesis a type of neural network, the Self-Organizing Maps (SOM), is used to perform data clustering and projection. It has been applied in a large variety of tasks, such as pattern ...
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SEISMIC INTERPRETATION OF SELF-ORGANIZING MAPS USING 2D COLOR DISPLAYS
... Kohonen self-organizing maps (SOM) is one of the most effective seismic clustering tools (Poupon et al., 1999; Barnes & Laughlin, 2002) associated with 1D and 2D colormaps to help seismic ...
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Enhanced Data Topology Preservation with Multilevel Interior Growing Self-Organizing Maps
... Growing Self-Organizing Maps) which is generated by a growth ...oriented maps. A performance comparison of three Self-Organizing networks, the Kohonen feature Map (SOM), the ...
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New developmental stages for common marmosets (Callithrix jacchus) using mass and age variables obtained by K-means algorithm and self-organizing maps (SOM)
... The database was built in templates using ACCESS MS 姠 and imported to JMP statistical software, version 5.0.1a—Copyright 䉷 1989–2002 SAS Institute Inc. All statistical tests, K-means and self- organizing ...
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Comparative analysis of model behaviour for flood prediction purposes using Self-Organizing Maps
... to their indices. With the exception of some very isolated occurrences there are no nodes on the map that are simul- taneously populated with model realizations from all three models. The same holds true for simultaneous ...
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Quantifying Postural Control during Exergaming Using Multivariate Whole-Body Movement Data: A Self-Organizing Maps Approach.
... the self-organizing map (SOM) or Kohonen map, to compare and visual- ize coordination patterns in multi-dimensional data ...and organizing the information to a low-dimensional mapping ...
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CARTO-SOM Cartogram creation using self-organizing maps
... The SOM dimension and size depends on the problem at hand. This is mainly an empirical process (Kohonen, 2001), where usually a two-dimension SOM is used due to its representation in the space. The size of the SOM must ...
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A framework for exploratory analysis of extreme weather events using geostatistical procedures and 3D self-organizing maps
... Some extreme weather events, such as heavy precipitation, can be analyzed from multiple perspectives as diverse as the daily intensity of precipitation or the number of consecutive wet days. Moreover, those perspectives ...
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Visualization of Clusters in Geo-referenced Data Using Three-dimensional Self-Organizing Maps
... Let us consider the zone highlighted on both maps. In the 2D SOM, the zone is similar to the neighbourhood; on the contrary, the 3D SOM indicates there is a difference. Zone 1514 (indicated in the map) is, in ...
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Quím. Nova vol.35 número11
... a set of Matlab functions that can be used to develop and implement SOM neural networks, and which contains functions for creation, visualization and analysis of self-organizing maps. A SOM grid with ...
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ELECTROFACIES CHARACTERIZATION USING SELF-ORGANIZING MAPS
... ABSTRACT. The characterization of electrofacies is essential for reservoir modeling. However, this is a process that dependends on many variables, with errors and associated noise that interfere on visual interpretation. ...
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Image Clustering Method Based on Density Maps Derived from Self-Organizing Mapping: SOM
... density maps derived from Self-Organizing Maps (SOM) is proposed together with a clarification of learning processes during a construction of ...
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BUSINESS CUSTOMERS SEGMENTATION WITH THE USE OF K-MEANS AND SELF-ORGANIZING MAPS: AN EXPLORATORY STUDY IN THE CASE OF A SLOVENIAN BANK
... Yet, unless they want to be led into the wrong direction, practitioners have to be very careful about choosing and refining the appropriate variables on which to segment (Zimme[r] ...
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ELECTROFACIES CLASSIFICATION OF PONTA GROSSA FORMATION BY MULTI-RESOLUTION GRAPH-BASED CLUSTERING (MRGC) AND SELF-ORGANIZING MAPS (SOM) METHODS
... Gamma ray (GR), sonic (DT) and long resistivity (RLN) logs were the input data and core simplified lithology are associated data used to estimate the accuracy and validate the mode[r] ...
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Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map
... Although some features have been chosen by researchers, finding simple and discriminative features is still a challenging problem. This paper proposed a new segmentation method based on block-wise features generated by ...
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